Department of Orthopaedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Department of Biological Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0032, Japan.
Sensors (Basel). 2021 Feb 18;21(4):1418. doi: 10.3390/s21041418.
Although the external knee adduction moment (KAM) during gait was shown to be a quantitative parameter of medial knee osteoarthritis (OA), it requires expensive equipment and a dedicated large space to measure. Therefore, it becomes a major reason to limit KAM measurement in a clinical environment. The purpose of this study was to estimate KAM using a single inertial measurement unit (IMU) during gait in patients with knee OA. A total of 22 medial knee OA patients (44 knee joints) performed conventional gait analysis using three-dimensional (3D) motion capture system. At the same time, we attached commercial IMUs to six body segments (sternum, pelvis, both thighs, and both shanks), and IMU signals during gait were recorded synchronized with the motion capture system. The peak-to-peak difference of acceleration in the lateral/medial axis immediately after heel contact was defined as the thrust acceleration (TA). We hypothesized that TA would represent the lateral thrust of the knee during the stance phase and correlate with the first peak of KAM. The relationship between the peak KAM and TA of pelvis (R = 0.52, < 0.001), shanks (R = 0.57, < 0.001) and thighs (R = 0.49, = 0.001) showed a significant correlation. The root mean square error (RMSE) of linear regression models of pelvis, shanks, and thighs to estimate KAM were 0.082, 0.079, and 0.084 Nm/(kg·m), respectively. Our newly established parameter TA showed a moderate correlation with conventional KAM. The current study confirmed our hypothesis that a single IMU would predict conventional KAM during gait. Since KAM is known as an indicator for prognosis and severity of knee OA, this new parameter has the potential to become an accessible predictor for medial knee OA instead of KAM.
虽然膝关节外展力矩(KAM)在步态中是内侧膝关节骨关节炎(OA)的定量参数,但它需要昂贵的设备和专用的大空间来测量。因此,这成为在临床环境中限制 KAM 测量的主要原因。本研究旨在使用惯性测量单元(IMU)在膝关节 OA 患者的步态中估算 KAM。总共 22 例内侧膝关节 OA 患者(44 个膝关节)使用三维(3D)运动捕捉系统进行常规步态分析。同时,我们将商用 IMU 附着在六个身体部位(胸骨、骨盆、大腿和小腿)上,并在与运动捕捉系统同步记录步态时的 IMU 信号。跟骨接触后立即在横向/内侧轴上的加速度峰峰值差被定义为推力加速度(TA)。我们假设 TA 将代表站立阶段膝关节的侧向推力,并与 KAM 的第一个峰值相关。KAM 的峰值与骨盆(R = 0.52, < 0.001)、小腿(R = 0.57, < 0.001)和大腿(R = 0.49, = 0.001)的 TA 之间的关系显示出显著的相关性。骨盆、小腿和大腿的线性回归模型估计 KAM 的均方根误差(RMSE)分别为 0.082、0.079 和 0.084 Nm/(kg·m)。我们新建立的骨盆、小腿和大腿的 TA 参数与传统 KAM 具有中度相关性。本研究证实了我们的假设,即单个 IMU 将预测步态中的传统 KAM。由于 KAM 被认为是膝关节 OA 预后和严重程度的指标,因此该新参数有可能成为内侧膝关节 OA 的可及预测指标,而不是 KAM。